code: def define_graph(self):
      rng = self.coin()
      self.jpegs, self.labels = self.input(name="Reader")
  
      images = self.decode(self.jpegs)
      images = self.resize(images)
      output = self.cmnp(images.gpu(), mirror=rng)
      return [output, self.labels]
  
file_path: gluon-cv/scripts/classification/imagenet/dali.py
imports: import warnings
  from nvidia.dali.pipeline import Pipeline
  import nvidia.dali.ops
  import nvidia.dali.types
  from nvidia.dali.plugin.mxnet import DALIClassificationIterator, LastBatchPolicy
  import horovod.mxnet
label_desc: Use image node_id 2 for calling the HybridTrainPipe obj's underlying member method code with example usage: obj.define_graph() and returns: list